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Hi,
we use a manually crafted table with specific reference dates (previous year) for every day and every business location/CC.
I'm able to map those reference dates onto my facts table (via 'key' "CC-Date"), but im not yet able to calculate the reference revenue in the same row as the actual revenue.
What I'm looking for:
Date | Revenue | RefDate | RefRevenue? | Location/CC (i think you can ignore this field for answering the question) |
01.01.2019 | 235135 | 01.01.2018 | 126513 (=Revenue from RefDate) | A/1500 |
01.01.2019 | 218952 | 03.01.2018 | 161341 | B/2300 |
02.01.2019 | 219925 | 03.01.2018 | 104465 | A/1400 |
The difficulty comes with the underlying table consisting of rows that are based on the revenue per article:
Date | Revenue | ArticleID | Location/CC |
01.01.2019 | 150 | 15 | A/1500 |
01.01.2019 | 30 | 18 | A/1400 |
01.01.2018 | 140 | 15 | A/1500 |
The Articles are needed for filter purposes.
I'm running circles in my head, but i think the solution might be very simple.
Thanks!
Best Regards
Karl
I attached a txt-file with tab as delimiter.
Thats how the source table looks like.
In the example file you can find three dates from 2019: 01, 02 and 03 May and the corresponding RefDates 01, (02) 03 and 04 May 2018.
In this case all 2019 dates have only one corresponding date in 2018, but it's also possible, that there is a different refdate for every CC.
I dont need CC and ArticleID in the final table, but i need to filter on them. On the Date-Dimension, I'm only filtering on the Date, not the RefDate.
I guess this result is only achievable via set analysis and some aggr() usage?! Thanks alot!